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Regression Analysis

Sales Forecasting: Forecast the sales for the home improvements market for Mexico City for 2007 using expenditures per household as the explanatory (independent) variable in a linear regression analysis. Graph the actual and forecasted data. See attached for data.

Forecast the sales for the home improvements market for Mexico City for 2007 using expenditures per household as the explanatory (independent) variable in a linear regression analysis. Graph the actual and forecasted data. See attached for data. Select another possible explanatory variable, in addition to expenditures per hou

Regression Analysis on Phase V

Regression Analysis Problem. Answer the following questions based on the above table. A. How many houses were sold last week? n = _________? B. What is the dependent variable? Size of homes or selling prices? _____________________ C. What is the independent variable? Size of homes or selling p

Problem analysis--time series

1. Corporate triple A bond interest rates for 12 consecutive months are given below. Month Interest rate 1 9.5 2 9.3 3 9.4 4 9.6 5 9.8 6 9.7 7 9.8 8 10.5. 9 9.9 10 9.7 11 9.6 12

Regression Analysis of Operating Expense and Staff Size

In this study we will consider the current issues of operational expenses in relation to the number of staff and number of branches being experienced by 123 Finance Inc. With current company staff being split between eight separate branches located across the United States, it has been suggested that a means of reducing daily op


See attached file for full problem description. Question 2) If you are given that the dependent variable (y) is Annual Sales, and x1 is the number of jobs held by each member of the sales staff within the past 5 year period, x2 is the years of experience of each staff member and x3 is the number of glasses of wine each staff

Scatter diagram and regression equation

Draw a scatter diagram. Determine the regression equation. Earth Engineering is in the process of trying to locate office space to accommodate employee growth. Over the last five years, the office has grown from 25 to 54 employees. Within less than a two-year period, the office has had to move to two new buildings - one was


If I tell you that the coefficient for X1 is .35, and the coefficient for X2 is -1.6, what does that mean with respect to the y variable?

Interpretation of Regression Coefficients, R Square

What is the interpretation of the coefficients that emerge from the regression equation. Can you predict a change in the y variable given knowledge of the x variable? How much change would you predict in y for a one unit change in x?

Regression and correlation

1) When is regression used? What are the assumptions of Linear Regression? 2) What is correlation? How does it differ from regression? What is the interpretation of the correlation coefficient?

Multiple choice question from time series analysis

1. Time series methods a. discover a pattern in historical data and project it into the future. b. include cause-effect relationships. c. are useful when historical information is not available. d. All of the alternatives are true. 2. Gradual shifting of a time series over a long period of time is called a. periodic

Hypothesis Test on Correlation and Regression Analysis

Palmdale Permits Population 2003 946 127,585 2004 1366 131,295 2005 1536 134,570 2006 1190 141,012 Total Permits: 5,038 Ho: p=0: The amount of permits is dependent upon population. H1: p is not equal to 0: The amount of permits is not dependent upon population. In

Regression analysis of depression data

A University Counseling Clinic is interested in predicting the levels of depression from the number of social events attended per week by a sample of their clients. The data are below: a. Conduct and interpret the appropriate analysis to determine if there is a relationship between number of social events attended and depress

Correlation and Regression Analysis: Opinion of Lab and Grades

The same students from the above scenario who are in the General Psychology class with the Virtual Lab exercises are asked to rate their opinion of the lab experiences. Virtual Lab Opinion 70 84 75 80 94 87 90 75 92 90 15 18 12 17 20 18 15 17 16 10 a. Conduct and interpret the appropriate statistical a

Regression Analysis of Real Estate Sale Price Appraised Value

4) Real estate investors, home buyers, and home owners often use the appraised value of a property as a basis for predicting sale price. Data on sale prices and total appraised values of 92 residential properties sold in 1999 in an upscale Tampa, Florida neighborhood named Tampa Palms. The first five and last five observations o

Regression analysis for age and blood alcohol concentration data

1. A study was conducted to investigate the relationship between age (in years) and BAC (blood alcohol concentration) measured when convicted DWI (driving while intoxicated) jail inmates were first arrested. Sample data are given below for randomly selected subjects. Age 17.2 43.5 30.7 53.1 37.2 21.0 27.6 46.3 BAC 0.19 0.20

Regression analysis for baseball data

The manager of the Ramona Inn Hotel near Cloverleaf Stadium believes that how well the local Blue Sox professional baseball team is playing has an impact on the occupancy rate at the hotel during the summer months. Following are the number of victories for the Blue Sox ( in a 162 game schedule) for the past eight years and the h


Metro Food Vending operates vending machines in office buildings, the airport, bus stations, colleges, and other businesses and agencies around town and operates vending trucks for building and construction sites. The company believes its sandwich sales follow a seasonal pattern. It has accumulated the following data for sandwic

Regression analysis, Time series analysis, Chi square

Exercise 1 Calculate a four-quarter weighted moving average for the number of America Online (AOL) subscribers for the nine quarters of data. The data are reported in thousands. Apply weights of .1, .2, .3 and .4, respectively, for the quarters. In a few words, describe the trend in the number of subscribers. 31-Mar-01

Regression analysis for mutual fund data

Linear regression analysis; construct confidence intervals for regression parameters; correlation coefficient . We can use two products at my work, which are mutual funds and see if there is a correlation between the two. The two different funds are: a domestic stock mutual fund, which only invests in large organizations (lar

Quantitative analysis questions a - l

The director of graduate studies at a large college of business would like to be able to predict the grade point index (GPI) of students in an MBA program based on Graduate Management Aptitude Test (GMAT) score. A sample of 20 students who had completed 2 years in the program is selected; the results are as follows: [see the

Regression and Automated Testing Plan

Please prepare a Regression and Automated Testing Plan for a Course Project Think about including the following: A business letter to the Jonesville Library introducing the contents of the document A regression and automated testing plan that includes the following: - the phases targeted by the plan - how regress

Economics and Management

The following questions refer to this regression equation. (Standard errors in parentheses.) QD = 15,000 - 10 P + 1500 A + 4 PX + 2 I, (5,234) (2.29) (525) (1.75) (1.5) R2 = 0.65 N = 120 F = 35.25 Standard error of Y estimate = 565 Q = Quantity demanded P = Price = 7,000 A = Advertising expense, in thousands = 54 PX =

TOM (Operations Management)

The Manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. Experimenting with prices produced the following data: Avg # Sold per Day (y) Price (x) Avg # Sold per Day (y) Price (x) 200 $6.00 155

Regression Equation for Males Eating Junk Food

1. Figure out the regression equation for males based on what they spend on junk food and their weight. The weight is the independent variable. Do we have a correlation? 2. Figure out the regression equation for females based on what they spend on junk food and their weight. Do we have a correlation? Note: For the first part

Simple Linear Regression Model for copying Acu machine data.

Practice Problems a) Explain what is meant by " is an unbiased estimator of the parameter ". b) Why is it desirable for a sample statistic to be unbiased? c) and are unbiased estimators of ______ and ______ respectively. 6. Acu-Copiers sells and services the Acu-500 copying machine. As part of its sta

Simple Linear Regression Model Analysis

Simple Linear Regression Model. See attached file for full problem description. 1. For the simple linear regression model a) Does this model refer to the population or only to a sample from the population? b) Explain what represents. c) Does vary? d) Which term(s) in the statistical model give the random v

Linear regression on leg length and lunge length data

1. I need to analyze the data in Worksheet 5-5 (attached). This data is real data that was collected by a doctor who specialized in leg and knee injuries. He gathered data from 43 people, indicated by their initials. Each person was required to perform three anterior (frontward) lunges with the right leg followed by three with t

Regression Analysis Problem unemployment rate and residential mortgage rate

Use linear regression to determine if there is a statistical correlation between the unemployment rate and the residential mortgage bank-charge off rate. Answer the following questions. Table 1. Quarterly Unemployment Rate1996 - 2006 Year Q1 Q2 Q3 Q4 1996 5.53 5.5 5.27 5.33 1997 5.23 5 4.86 4.67 1998 4.63 4